Podcast: Rewriting NWChem for Exascale

In this Let’s Talk Exascale podcast, researchers from the NWChemEx project team describe how they are readying the popular code for Exascale. The NWChemEx team’s most significant success so far has been to scale coupled-cluster calculations to a much larger number of processors. “In NWChem we had the global arrays as a toolkit to be able to build parallel applications.”

Podcast: Supercomputing the Human Microbiome

In this Let’s Talk Exascale podcast, Kathy Yelick and Lenny Oliker from LBNL describe how the ExaBiome project is developing computational tools to analyze microbial species—bacteria or viruses that typically live in communities of hundreds of different species. “Pushing past the traditional shared-memory-system approach, the ExaBiome team has developed efficient distributed memory implementations and analyzed some of the largest datasets in the metagenomics community.”

Sandia and LBNL to lead Quantum Information Edge Strategic Alliance

A nationwide alliance of national labs, universities, and industry launched today to advance the frontiers of quantum computing systems designed to solve urgent scientific challenges and maintain U.S. leadership in next-generation information technology. “The Quantum Information Edge will accelerate quantum R&D by simultaneously pursuing solutions across a broad range of science and technology areas, and integrating these efforts to build working quantum computing systems that benefit the nation and science.”

Deep Learning on Summit Supercomputer Powers Insights for Nuclear Waste Remediation

A research collaboration between LBNL, PNNL, Brown University, and NVIDIA has achieved exaflop (half-precision) performance on the Summit supercomputer with a deep learning application used to model subsurface flow in the study of nuclear waste remediation. Their achievement, which will be presented during the “Deep Learning on Supercomputers” workshop at SC19, demonstrates the promise of physics-informed generative adversarial networks (GANs) for analyzing complex, large-scale science problems.

Podcast: ExaStar Project Seeks Answers in Cosmos

In this podcast, Daniel Kasen from LBNL and Bronson Messer of ORNL discuss advancing cosmology through EXASTAR, part of the Exascale Computing Project. “We want to figure out how space and time get warped by gravitational waves, how neutrinos and other subatomic particles were produced in these explosions, and how they sort of lead us down to a chain of events that finally produced us.”

John Shalf from LBNL on Computing Challenges Beyond Moore’s Law

In this special guest feature from Scientific Computing World, Robert Roe interviews John Shalf from LBNL on the development of digital computing in the post Moore’s law era. “In his keynote speech at the ISC conference in Frankfurt, Shalf described the lab-wide project at Berkeley and the DOE’s efforts to overcome these challenges through the development acceleration of the design of new computing technologies.”

Video: Exascale Deep Learning for Climate Analytics

Thorsten Kurth Josh Romero gave this talk at the GPU Technology Conference. “We’ll discuss how we scaled the training of a single deep learning model to 27,360 V100 GPUs (4,560 nodes) on the OLCF Summit HPC System using the high-productivity TensorFlow framework. This talk is targeted at deep learning practitioners who are interested in learning what optimizations are necessary for training their models efficiently at massive scale.”

DOE powers Aluminum and Steelmaking Research through HPC4Manufacturing Program

Today the HPC4Manufacturing Program announced four federal funding awards for solving key manufacturing challenges in steelmaking and aluminum production through supercomputing. “Primary metals industries are significant energy users, so opportunities to reduce energy consumption in this area is of great interest to our sponsors,” said HPC4Manufacturing Director Robin Miles of LLNL. “Additionally, this program is helping U.S. steel makers produce the higher strength steels vital to light weighting the next generation of automobiles.”

John Shalf and Thomas Sterling to Keynote ISC 2019 in Frankfurt

Today ISC 2019 announced that its lineup of keynote speakers will include John Shalf from LBNL and Thomas Sterling from Indiana University. The event takes place June 16-20 in Frankfurt, Germany. “On June 18, John Shalf, from Lawrence Berkeley National Laboratory will offer his thoughts on how the slowdown and eventual demise of Moore’s Law will affect the prospects for high performance computing in the next decade. On June 19, Thomas Sterling will present his annual retrospective of the most important developments in HPC over the last 12 months.”

Researchers Gear Up for Exascale at ECP Meeting in Houston

Scientists and Engineers at Berkeley Lab are busy preparing for Exascale supercomputing this week at the ECP Annual Meeting in Houston. With a full agenda running five days, LBL researchers will contribute Two Plenaries, Five Tutorials, 15 Breakouts and 20 Posters. “Sponsored by the Exascale Computing Project, the ECP Annual Meeting centers around the many technical accomplishments of our talented research teams, while providing a collaborative working forum that includes featured speakers, workshops, tutorials, and numerous planning and co-design meetings in support of integrated project understanding, team building and continued progress.”